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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 24241
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    Explanations

    locations in California

    oai_token-act-pair · gpt-3.5-turbo

    mentions of locations in California

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BOOK
    -0.82
    minded
    -0.73
     favour
    -0.70
    balance
    -0.69
    schild
    -0.68
    SHIP
    -0.67
    usting
    -0.67
     denomin
    -0.66
    chest
    -0.63
    busters
    -0.63
    POSITIVE LOGITS
     Calif
    1.22
     Oro
    0.88
    erey
    0.86
    eno
    0.84
    ano
    0.83
    illo
    0.81
     Rim
    0.80
    Calif
    0.78
     Blvd
    0.78
     Colo
    0.76
    Activations Density 0.008%

    No Known Activations